Social network theory in the behavioural sciences: potential applications

被引:315
作者
Krause, J. [1 ]
Croft, D. P.
James, R.
机构
[1] Univ Leeds, Inst Integrat & Comparat Biol, Leeds LS2 9JT, W Yorkshire, England
[2] Univ Wales, Coll Nat Sci, Sch Biol Sci, Bangor LL57 2UW, Gwynedd, Wales
[3] Univ Bath, Dept Phys, Bath BA2 7AY, Avon, England
基金
英国工程与自然科学研究理事会;
关键词
social networks; social organisation; mate choice; disease transmission; information transfer; cooperation;
D O I
10.1007/s00265-007-0445-8
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Social network theory has made major contributions to our understanding of human social organisation but has found relatively little application in the field of animal behaviour. In this review, we identify several broad research areas where the networks approach could greatly enhance our understanding of social patterns and processes in animals. The network theory provides a quantitative framework that can be used to characterise social structure both at the level of the individual and the population. These novel quantitative variables may provide a new tool in addressing key questions in behavioural ecology particularly in relation to the evolution of social organisation and the impact of social structure on evolutionary processes. For example, network measures could be used to compare social networks of different species or populations making full use of the comparative approach. However, the networks approach can in principle go beyond identifying structural patterns and also can help with the understanding of processes within animal populations such as disease transmission and information transfer. Finally, understanding the pattern of interactions in the network (i.e. who is connected to whom) can also shed some light on the evolution of behavioural strategies.
引用
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页码:15 / 27
页数:13
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